Python graphene.InputField方法代码示例

# 需要导入模块: import graphene [as 别名]
# 或者: from graphene import InputField [as 别名]
def __init_subclass_with_meta__(cls, container=None, _meta=None, **options):
        if not _meta:
            _meta = InputObjectTypeOptions(cls)

        fields = {}
        for base in reversed(cls.__mro__):
            fields.update(yank_fields_from_attrs(base.__dict__, _as=InputField))

        if _meta.fields:
            _meta.fields.update(fields)
        else:
            _meta.fields = fields
        if container is None:
            container = type(cls.__name__, (InputObjectTypeContainer, cls), {})
        _meta.container = container
        super(InputObjectType, cls).__init_subclass_with_meta__(_meta=_meta, **options) 

# 需要导入模块: import graphene [as 别名]
# 或者: from graphene import InputField [as 别名]
def __init__(
        self,
        type_,
        name=None,
        default_value=Undefined,
        deprecation_reason=None,
        description=None,
        required=False,
        _creation_counter=None,
        **extra_args
    ):
        super(InputField, self).__init__(_creation_counter=_creation_counter)
        self.name = name
        if required:
            type_ = NonNull(type_)
        self._type = type_
        self.deprecation_reason = deprecation_reason
        self.default_value = default_value
        self.description = description 

# 需要导入模块: import graphene [as 别名]
# 或者: from graphene import InputField [as 别名]
def test_conjunction_filter_field_types():
    filter_fields = deepcopy(UserFilter._meta.fields)

    for op in [UserFilter.AND, UserFilter.OR]:
        assert op in filter_fields
        assert isinstance(filter_fields[op], graphene.InputField)

        input_field = filter_fields[op].type
        assert isinstance(input_field, graphene.List)

        input_field_of_type = input_field.of_type
        assert isinstance(input_field_of_type, graphene.NonNull)

        non_null_input_field_of_type = input_field_of_type.of_type
        assert non_null_input_field_of_type is UserFilter

        del filter_fields[op] 

# 需要导入模块: import graphene [as 别名]
# 或者: from graphene import InputField [as 别名]
def __init_subclass_with_meta__(
        cls, form_class=None, only_fields=(), exclude_fields=(), **options
    ):

        if not form_class:
            raise Exception("form_class is required for DjangoFormMutation")

        form = form_class()
        input_fields = fields_for_form(form, only_fields, exclude_fields)
        output_fields = fields_for_form(form, only_fields, exclude_fields)

        _meta = DjangoFormMutationOptions(cls)
        _meta.form_class = form_class
        _meta.fields = yank_fields_from_attrs(output_fields, _as=Field)

        input_fields = yank_fields_from_attrs(input_fields, _as=InputField)
        super(DjangoFormMutation, cls).__init_subclass_with_meta__(
            _meta=_meta, input_fields=input_fields, **options
        ) 

# 需要导入模块: import graphene [as 别名]
# 或者: from graphene import InputField [as 别名]
def get_type(cls):
        """
        This function is called when the unmounted type (InputObjectType instance)
        is mounted (as a Field, InputField or Argument)
        """
        return cls 

# 需要导入模块: import graphene [as 别名]
# 或者: from graphene import InputField [as 别名]
def test_custom_filter_field_type():
    filter_fields = deepcopy(UserFilter._meta.fields)

    assert 'is_admin' in filter_fields
    is_rich = filter_fields['is_admin']
    assert isinstance(is_rich, graphene.InputField)
    assert is_rich.type is graphene.Boolean
    del filter_fields['is_admin'] 

# 需要导入模块: import graphene [as 别名]
# 或者: from graphene import InputField [as 别名]
def test_default_filter_field_types():
    filter_fields = deepcopy(UserFilter._meta.fields)

    for model_field, operators in USER_FILTER_FIELDS.items():
        for op in operators:
            field = model_field
            graphql_op = UserFilter.GRAPHQL_EXPRESSION_NAMES[op]
            if graphql_op:
                field += filters.DELIMITER + graphql_op

            assert field in filter_fields, 'Field not found: ' + field
            assert isinstance(filter_fields[field], graphene.InputField)
            del filter_fields[field] 

# 需要导入模块: import graphene [as 别名]
# 或者: from graphene import InputField [as 别名]
def Field(cls, *args, **kwargs):
        cls._meta.arguments['input']._meta.fields.update({
            get_user_model().USERNAME_FIELD:
            graphene.InputField(graphene.String, required=True),
            'password': graphene.InputField(graphene.String, required=True),
        })
        return super().Field(*args, **kwargs) 

# 需要导入模块: import graphene [as 别名]
# 或者: from graphene import InputField [as 别名]
def _get_input_attrs(object_type):
    new = {}

    for attr, value in object_type.__dict__.items():
        if not isinstance(value, (MountedType, UnmountedType)):
            continue

        if isinstance(value, Structure) and issubclass(value.of_type, graphene.ObjectType):
            value = type(value)(_input_registry[value.of_type])
        elif isinstance(value, graphene.ObjectType):
            value = _input_registry[value.of_type]

        new[attr] = value

    return yank_fields_from_attrs(new, _as=graphene.InputField) 

# 需要导入模块: import graphene [as 别名]
# 或者: from graphene import InputField [as 别名]
def __init_subclass_with_meta__(cls, model=None,
                                    object_permissions=None,
                                    object_permissions_any=True,
                                    return_field_name=None,
                                    required_fields=None,
                                    exclude_fields=None, only_fields=None,
                                    _meta=None, **kwargs):
        if not model:  # pragma: no cover
            raise ImproperlyConfigured("model is required for ModelMutation")
        if not _meta:
            _meta = ModelMutationOptions(cls)

        exclude_fields = exclude_fields or []
        only_fields = only_fields or []
        if not return_field_name:
            return_field_name = _get_model_name(model)

        input_fields = _get_fields(model, only_fields, exclude_fields,
                                   required_fields)
        input_fields = yank_fields_from_attrs(input_fields, _as=graphene.InputField)

        fields = _get_output_fields(model, return_field_name)

        _meta.model = model
        _meta.object_permissions = object_permissions or []
        _meta.object_permissions_any = object_permissions_any
        _meta.return_field_name = return_field_name
        _meta.exclude_fields = exclude_fields
        _meta.only_fields = only_fields
        _meta.required_fields = required_fields

        super().__init_subclass_with_meta__(
            _meta=_meta,
            input_fields=input_fields,
            **kwargs,
        )

        cls._meta.fields.update(fields) 

# 需要导入模块: import graphene [as 别名]
# 或者: from graphene import InputField [as 别名]
def __init_subclass_with_meta__(
        cls, model=None, fields=None, _meta=None, **options
    ):
        if model is None and fields:
            raise AttributeError('Model not specified')

        if not _meta:
            _meta = FilterSetOptions(cls)

        cls.model = model
        _meta.model = model

        extra_expressions = {}
        extra_allowed_filters = {}
        for klass in reversed(cls.__mro__):
            with contextlib.suppress(AttributeError):
                for key, expr in klass.EXTRA_EXPRESSIONS.items():
                    extra_expressions[key] = expr

            with contextlib.suppress(AttributeError):
                for key, exprs in klass.EXTRA_ALLOWED_FILTERS.items():
                    extra_allowed_filters[key] = exprs

        if extra_expressions or extra_allowed_filters:
            cls._register_extra(extra_expressions, extra_allowed_filters)

        filters_fields = {}
        if model is not None:
            # Add default filter objects.
            filters_fields = cls._generate_default_filters(model, fields)

        for op in [cls.AND, cls.OR, cls.NOT]:
            doc = cls.DESCRIPTIONS.get(op)
            graphql_name = cls.GRAPHQL_EXPRESSION_NAMES[op]
            filters_fields[graphql_name] = graphene.InputField(
                cls.FILTER_OBJECT_TYPES[op](cls, False, doc), description=doc
            )

        if not _meta.fields:
            _meta.fields = {}

        _meta.fields.update(filters_fields)

        default_filter_keys = set(filters_fields.keys())

        # Add custom filter objects.
        super().__init_subclass_with_meta__(_meta=_meta, **options)

        # Save set of custom filter names.
        cls._custom_filters = set()
        meta_fields = set(_meta.fields.keys())
        if meta_fields:
            cls._custom_filters = meta_fields.difference(default_filter_keys) 

# 需要导入模块: import graphene [as 别名]
# 或者: from graphene import InputField [as 别名]
def _generate_default_filters(
        cls, model, field_filters: 'Dict[str, Union[Iterable[str], Any]]'
    ) -> dict:
        """
        Generate GraphQL fields from SQLAlchemy model columns.

        Args:
            model: SQLAlchemy model.
            field_filters: Filters for fields.

        Returns:
            GraphQL fields dictionary:
            field name (key) - field instance (value).

        """
        graphql_filters = {}
        filters_map = cls.ALLOWED_FILTERS
        model_fields = cls._get_model_fields_data(model, field_filters.keys())

        for field_name, field_object in model_fields.items():
            column_type = field_object['type']

            expressions = field_filters[field_name]
            if expressions == cls.ALL:
                type_class = column_type.__class__
                try:
                    expressions = filters_map[type_class].copy()
                except KeyError:
                    for type_, exprs in filters_map.items():
                        if issubclass(type_class, type_):
                            expressions = exprs.copy()
                            break
                    else:
                        raise KeyError(
                            'Unsupported column type. '
                            'Hint: use EXTRA_ALLOWED_FILTERS.'
                        )

                if field_object['nullable']:
                    expressions.append(cls.IS_NULL)

            field_type = convert_sqlalchemy_type(
                column_type, field_object['column']
            )

            fields = cls._generate_filter_fields(
                expressions, field_name, field_type, field_object['nullable']
            )
            for name, field in fields.items():
                graphql_filters[name] = get_field_as(
                    field, graphene.InputField
                )

        return graphql_filters